Python | Pandas Timedelta.nanoseconds

Pandas is a popular data manipulation and analysis library. One useful feature of Pandas is the ability to work with time-related data. DatetimeIndex and Timedelta are two useful tools for handling time-related data. The Timedelta.nanoseconds attribute returns the total number of nanoseconds in a given Timedelta object.

The Timedelta Object

A Timedelta object represents the difference between two dates or times. It is a duration or an amount of time. Timedelta can be positive or negative and can represent time periods in years, months, days, hours, minutes, seconds, and fractions of a second.

import pandas as pd

td = pd.Timedelta(days=2, hours=3, minutes=4, seconds=5, milliseconds=6, microseconds=7, nanoseconds=8)

print(td)

2 days 03:04:05.006007008

The Timedelta.nanoseconds Attribute

The Timedelta.nanoseconds attribute returns the total number of nanoseconds in a given Timedelta object.

import pandas as pd

td = pd.Timedelta(days=2, hours=3, minutes=4, seconds=5, milliseconds=6, microseconds=7, nanoseconds=8)

print(td.nanoseconds)

8006007008

In the example above, the Timedelta object represents a duration of 2 days, 3 hours, 4 minutes, 5 seconds, 6 milliseconds, 7 microseconds, and 8 nanoseconds. The Timedelta.nanoseconds attribute returns the total number of nanoseconds in this Timedelta object, which is 8,006,007,008 nanoseconds.

Conclusion

In this article, we learned about the Timedelta object and the Timedelta.nanoseconds attribute in Pandas. The Timedelta object represents the difference between two dates or times, and the Timedelta.nanoseconds attribute returns the total number of nanoseconds in a given Timedelta object. These tools are useful for working with time-related data in Pandas.